
Modern Digital Control Systems
Raymond G. Jacquot(Author)
Routledge (Publisher)
2nd Edition
Published on 13. September 1994
Book
Hardback
432 pages
978-0-8247-8914-5 (ISBN)
Description
This work presents traditional methods and current techniques of incorporating the computer into closed-loop dynamic systems control, combining conventional transfer function design and state variable concepts. Digital Control Designer - an award-winning software program which permits the solution of highly complex problems - is available on the CRC Press Website at http://www.crcpress.com/product/isbn/9780824789145. This edition: supplies new coverage of the Ragazzini technique; describes digital filtering, including Butterworth prototype filters; and more.
Reviews / Votes
". . .ideal for any student of classical theory. "---Proceedings of the Institution of Mechanical Engineers Vol 209
More details
Series
Edition
2nd edition
Language
English
Place of publication
New York
United States
Publishing group
Taylor & Francis Inc
Target group
College/higher education
Professional and scholarly
Dimensions
Height: 234 mm
Width: 156 mm
Weight
793 gr
ISBN-13
978-0-8247-8914-5 (9780824789145)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions

Raymond G. Jacquot
Modern Digital Control Systems
E-Book
01/2019
2nd Edition
Routledge
€165.99
Available for download

Raymond G. Jacquot
Modern Digital Control Systems
E-Book
01/2019
2nd Edition
Routledge
€165.99
Available for download
Content
Introduction to Digital Control Linear Difference Equations and the z-Transform Elementary Digital Control System Design Using Transform Techniques Advanced Digital Control System Design Techniques Employing the z-Transform Digital Filtering and Digital Compensator Design State-Variable Representation in Digital Control Systems Quantization and Error Effects State-Space Approach to Control System Design Linear Discrete-Time Optimal Control Discrete-Time Stochastic Systems State Estimation in the Presence of Noise Discrete-Time Stochastic Control Systems Introduction to System Identification Appendix A: Tables and Properties of z-Transforms Appendix B: Algebraic Eigenvalue-Eigenvictor Problem Appendix C: Proof of the Matrix Inversion Lemma Appendix D: Digital Control Designe